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Proceedings Paper

Using remote sensing data to estimate land surface variables over the Tibetan Plateau
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Paper Abstract

Tibetan Plateau has a crucial impact on the atmospheric circulation changes of Asia and even the northern hemisphere and southern hemisphere, directly affecting the formation and evolution of weather and climate of China, and therefore the studying on weather, climate and their evolving mechanism over Qinghai-Tibet Plateau is of great significance, and this studying is helpful for improving accuracy of forecast disaster weather. Tibetan Plateau is the magnifying glass of global climate change too. The system of ecology and the environment in Tibetan Plateau is very fragile and very sensitive to global climate change, so Tibetan Plateau is a window of studying global climate change. Due to the special geographical conditions of the Tibetan Plateau, the weather stations are scarce over the plateau region, especially in its western region. The introduction and application of satellite remote sensing data on studying on the Tibetan Plateau, in particular, is very important and very necessary. Using satellite remote sensing data, some areas of the Tibetan Plateau is classified into several surface types, regional distributions of the Surface parameters are calculated and discussed according to each type. Further more, each distribution map and straight-bar figure of the Surface parameters is given out. The results indicate: All the regional distributions are characteristic by their terrain nature and the regional distributions are obvious and regular. It is seen that the derived regional distributions of land surface parameters for the whole mesoscale area are in good accordance with the land surface status.

Paper Details

Date Published: 20 August 2009
PDF: 11 pages
Proc. SPIE 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI, 745416 (20 August 2009); doi: 10.1117/12.824686
Show Author Affiliations
Jianmao Guo, Institute of Plateau Meteorology (China)
Nanjing Univ. of Information Science & Technology (China)
Shuanghe Shen, Nanjing Univ. of Information Science & Technology (China)
Shenbin Yang, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 7454:
Remote Sensing and Modeling of Ecosystems for Sustainability VI
Wei Gao; Thomas J. Jackson, Editor(s)

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